The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
The Papillomavirus Episteme: a major update to the papillomavirus sequence database
Open accessAbstract
The Papillomavirus Episteme (PaVE) is a database of curated papillomavirus genomic sequences, accompanied by web-based sequence analysis tools. This update describes the addition of major new features. The papillomavirus genomes within PaVE have been further annotated, and now includes the major spliced mRNA transcripts. Viral genes and transcripts can be visualized on both linear and circular genome browsers. Evolutionary relationships among PaVE reference protein sequences can be analysed using multiple sequence alignments and phylogenetic trees. To assist in viral discovery, PaVE offers a typing tool; a simplified algorithm to determine whether a newly sequenced virus is novel. PaVE also now contains an image library containing gross clinical and histopathological images of papillomavirus infected lesions. Database URL: https://pave.niaid.nih.gov/.
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Self-citationNew and continuing developments at PROSITE
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UniProt: a worldwide hub of protein knowledge
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Human papillomaviruses: diversity, infection and host interactions
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Self-citationPatient-derived organoids model cervical tissue dynamics and viral oncogenesis in cervical cancer
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Metadata
- Authors
- Van Doorslaer, K., Li, Z., Xirasagar, S., Maes, P., Kaminsky, D., Liou, D., Sun, Q., Kaur, R., Huyen, Y., & McBride, A. A.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-10-05
- Volume
- 45
- Issue
- D1
- Pages
- D499-D506
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2528456062
- Cited by
- 422
- References
- 41
- FWCI
- 22.90
- Type
- journal article
- Language
- en
- Open access
- gold
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- Van Doorslaer, K., Li, Z., Xirasagar, S., Maes, P., Kaminsky, D., Liou, D., Sun, Q., Kaur, R., Huyen, Y., & McBride, A. A. (2017). The Papillomavirus Episteme: a major update to the papillomavirus sequence database. Nucleic Acids Research. https://doi.org/10.1093/nar/gkw879
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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